Xu YANG, Xue-he LU, Jing-ming SHI, Jing LI, Wei-min JU. Inversion of Rice Leaf Chlorophyll Content Based on Sentinel-2 Satellite Data[J]. Spectroscopy and Spectral Analysis, 2022, 42(3): 866
- Spectroscopy and Spectral Analysis
- Vol. 42, Issue 3, 866 (2022)
Fig. 1. Leaf chlorophyll content inverted using CI705 (a), CI740 (b), CI783 (c), and ZM (d) against measurements
Fig. 2. Relative errors of leaf chlorophyll content inverted using four spectral indices under different LAI conditions
Fig. 3. Simulated change of leaf chlorophyll content with canopy CI740 under different background conditions
(a): LAI=1; (b): LAI=4 Note: CIsoil values of 0.35, 0.55 and 0.75 correspond to Psoil equal to 1 (dry soil), 0.5, and 0 (wet soil)
(a): LAI=1; (b): LAI=4 Note: CIsoil values of 0.35, 0.55 and 0.75 correspond to Psoil equal to 1 (dry soil), 0.5, and 0 (wet soil)
Fig. 4. Simulated change of leaf chlorophyll content with canopy CI740/G under different background conditions
(a): LAI=1; (b) LAI=4 Note: CIsoil/Gsoil values of 0.43, 0.48, and 1.01 correspond to Psoil equal to 1 (dry soil), 0.5, and 0 (wet soil)
(a): LAI=1; (b) LAI=4 Note: CIsoil/Gsoil values of 0.43, 0.48, and 1.01 correspond to Psoil equal to 1 (dry soil), 0.5, and 0 (wet soil)
Fig. 5. Leaf chlorophyll content inverted using CI705/G
(a), CI740/G (b), CI783/G (c), ZM/G (d) against measurements
(a), CI740/G (b), CI783/G (c), ZM/G (d) against measurements
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Table 1. Remote sensing data used and concurrent measured leaf chlorophyll content (Cab) and leaf area index (LAI)
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Table 2. Model parameter settings in the forward simulations of PROSAIL
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Table 3. The spectral indices used in this study
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Table 4. Statistics of leaf chlorophyll content inverted using four different spectral indices against measurements
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Table 5. Accuracy of inversion results after correction of four spectral indices
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